Evidence map›Paper›PMID 39830967›Full record

ArticlePeerJ2025

Predictors of county-level diabetes-related mortality risks in Florida, USA: a retrospective ecological study.

Nirmalendu Deb Nath, Agricola Odoi

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Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Nirmalendu Deb Nath *Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, TN, United States of America.
Agricola Odoi *Biomedical and Diagnostic Sciences, University of Tennessee, Knoxville, TN, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes is an increasingly important public health problem due to its socioeconomic impact, high morbidity, and mortality. Although there is evidence of increasing diabetes-related deaths over the last ten years, little is known about the population level predictors of diabetes-related mortality risks (DRMR) in Florida. Identifying these predictors is important for guiding control programs geared at reducing the diabetes burden and improving population health. Therefore, the objective of this study was to identify geographic disparities and predictors of county-level DRMR in Florida. Methods: The 2019 mortality data for the state of Florida were obtained from the Florida Department of Health. The 10th International Classification of Disease codes E10-E14 were used to identify diabetes-related deaths which were then aggregated to the county-level. County-level DRMR were computed and presented as number of deaths per 100,000 persons. Geographic distribution of DRMR were displayed in choropleth maps and ordinary least squares (OLS) regression model was used to identify county-level predictors of DRMR. Results: There was a total 6,078 diabetes-related deaths in Florida during the study time period. County-level DRMR ranged from 9.6 to 75.6 per 100,000 persons. High mortality risks were observed in the northern, central, and southcentral parts of the state. Relatively higher mortality risks were identified in rural counties compared to their urban counterparts. Significantly high county-level DRMR were observed in counties with high percentages of the population that were: 65 year and older ( Conclusion: Geographic disparities of DRMR exist in Florida, with high risks being observed in northern, central, and southcentral counties of the state. The study identified county-level predictors of these identified DRMR disparities in Florida. The findings are useful in guiding health professionals to better target intervention efforts.

Indexed as

Diabetes MellitusAdultAgedFemaleFloridaHumansMaleMiddle AgedRetrospective StudiesRisk FactorsRural PopulationUrban PopulationDiabetesEcological studyGeographic Information SystemsGISLinear regressionMortality rateMortality riskOrdinary least squares regressionPredictorRisk factor

Identifiers

PMID39830967
PMCPMC11742252

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